IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v90y2012i1d10.1007_s11192-011-0508-5.html
   My bibliography  Save this article

Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators

Author

Listed:
  • Minjeong Kim

    (Colorado State University)

  • Han Woo Park

    (Yeungnam University
    World Class University (WCU) Webometrics Institute and CyberEmotions Research Center, Yeungnam University)

Abstract

This study investigates the role of Twitter in political deliberation and participation by analyzing the ways in which South Korean politicians use Twitter. In addition, the study examines the rise of Twitter as user-generated communication system for political participation and deliberation by using the Triple Helix indicators. For this, we considered five prominent politicians, each belonging to one of four political parties, by using data collected in June 2010. The results suggest that non-mainstream, resource-deficient politicians are more likely to take advantage of Twitter’s potential as an alternative means of political participation and that a small number of Twitter users lead political discourse in the Twittersphere. We also examined the occurrence and co-occurrence of politicians’ names in Twitter posts, and then calculate entropy values for trilateral relationships. The results suggest that the level of political deliberation, expressed in terms of the level of balance in the communication system, is higher when politicians with different political orientations form the trilateral relationships.

Suggested Citation

  • Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:1:d:10.1007_s11192-011-0508-5
    DOI: 10.1007/s11192-011-0508-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-011-0508-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-011-0508-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    2. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    3. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    4. Jennifer Golbeck & Justin M. Grimes & Anthony Rogers, 2010. "Twitter use by the U.S. Congress," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1612-1621, August.
    5. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university‐industry‐government relationship in Korea," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    6. Kim Holmberg & Mike Thelwall, 2009. "Local government web sites in Finland: A geographic and webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 157-169, April.
    7. Jennifer Golbeck & Justin M. Grimes & Anthony Rogers, 2010. "Twitter use by the U.S. Congress," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1612-1621, August.
    8. Kim Holmberg, 2010. "Co-inlinking to a municipal Web space: a webometric and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 851-862, June.
    9. Han Woo Park & Heung Deug Hong & Loet Leydesdorff, 2005. "A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 3-27, October.
    10. Gohar Feroz Khan & Junghoon Moon & Han Woo Park & Bobby Swar & Jae Jeung Rho, 2011. "A socio-technical perspective on e-government issues in developing countries: a scientometrics approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 267-286, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ho Yoon & Han Park, 2014. "Strategies affecting Twitter-based networking pattern of South Korean politicians: social network analysis and exponential random graph model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 409-423, January.
    2. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    3. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    4. Kiljae Lee & Won-Yong Oh & Namhyeok Kim, 2013. "Social Media for Socially Responsible Firms: Analysis of Fortune 500’s Twitter Profiles and their CSR/CSIR Ratings," Journal of Business Ethics, Springer, vol. 118(4), pages 791-806, December.
    5. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    6. Lee, Sangwon & Nam, Yoonjae & Lee, Seonmi & Son, Hyunjung, 2016. "Determinants of ICT innovations: A cross-country empirical study," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 71-77.
    7. Chung Joo Chung & Han Woo Park, 2014. "Mapping Triple Helix innovation in developing and transitional economies: webometrics, scientometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 1-4, April.
    8. K. Kwon & Shin-Il Moon & Michael Stefanone, 2015. "Unspeaking on Facebook? Testing network effects on self-censorship of political expressions in social network sites," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1417-1435, July.
    9. Teresa L. Ju & Yao Chin Lin & Nhu-Hang Ha, 2014. "Proactive Assessment for Collaboration Success," SAGE Open, , vol. 4(3), pages 21582440145, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Seong Eun Cho & Han Woo Park, 2012. "Government organizations’ innovative use of the Internet: The case of the Twitter activity of South Korea’s Ministry for Food, Agriculture, Forestry and Fisheries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 9-23, January.
    2. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    3. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    4. Ssu-Han Chen & Mu-Hsuan Huang & Dar-Zen Chen, 2013. "Driving factors of external funding and funding effects on academic innovation performance in university–industry–government linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1077-1098, March.
    5. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    6. Bobby Swar & Gohar Feroz Khan, 2014. "Mapping ICT knowledge infrastructure in South Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 117-137, April.
    7. Zhang, Yi & Chen, Kaihua & Fu, Xiaolan, 2019. "Scientific effects of Triple Helix interactions among research institutes, industries and universities," Technovation, Elsevier, vol. 86, pages 33-47.
    8. Sujin Choi & Joshua Yang & Han Park, 2015. "Quantifying the Triple Helix relationship in scientific research: statistical analyses on the dividing pattern between developed and developing countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1381-1396, July.
    9. Matthew A. Shapiro & Han Woo Park, 2012. "Regional development in South Korea: accounting for research area in centrality and networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 271-287, January.
    10. Jungwon Yoon, 2015. "The evolution of South Korea’s innovation system: moving towards the triple helix model?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 265-293, July.
    11. José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.
    12. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    13. Gohar Feroz Khan & Han Woo Park, 2012. "Editorial: Triple Helix and innovation in Asia using scientometrics, webometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 1-7, January.
    14. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    15. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
    16. Mêgnigbêto, Eustache, 2014. "Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university–industry–government relationships," Journal of Informetrics, Elsevier, vol. 8(1), pages 284-294.
    17. Chung Joo Chung, 2014. "An analysis of the status of the Triple Helix and university–industry–government relationships in Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 139-149, April.
    18. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    19. Sujin Choi & Ji-young Park & Han Woo Park, 2012. "Using social media data to explore communication processes within South Korean online innovation communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 43-56, January.
    20. Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:90:y:2012:i:1:d:10.1007_s11192-011-0508-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.